Confidence intervals for the number needed to treatBMJ 1999; 318 doi: https://doi.org/10.1136/bmj.318.7200.1764c (Published 26 June 1999) Cite this as: BMJ 1999;318:1764
Pooling numbers needed to treat may not be reliable
- Christopher Cates, General practitioner (firstname.lastname@example.org)
- Manor View Practice, Bushey, Hertfordshire WD2 2NN
- University of Wales College of Medicine, Cardiff CF4 4XN
EDITOR—The number needed to treat has become a popular summary statistic for the results of randomised controlled trials because it combines the treatment effect with the background level of risk in the population studied. Patients in a single trial are randomised for both of these factors, and a confidence interval can be calculated which estimates the statistical uncertainty of the number needed to treat in this particular population.1
Problems arise when comparisons are made between numbers needed to treat from different randomised trials, or when the numbers needed to treat from several trials are combined in a meta-analysis. Often the background level of risk varies between trials in a non-random fashion, depending on the entry criteria in each trial. If the relative benefit of the treatment is constant across these background levels …
Log in using your username and password
Log in through your institution
Subscribe from £173 *
Subscribe and get access to all BMJ articles, and much more.
* For online subscription
Access this article for 1 day for:
£38 / $45 / €42 (excludes VAT)
You can download a PDF version for your personal record.